FDA Radiology AI Devices

BriefCase by Aidoc Medical, Ltd. is an AI-powered software that assists radiologists by automatically analyzing chest and abdominal CT scans to detect and flag suspected vertebral compression fractures. It helps prioritize medical images for review, enabling faster triage without altering original images or workflows, thus improving the efficiency of radiological diagnosis and patient care.

The EFAI ChestSuite XR Pneumothorax Assessment System is an AI-powered software tool that helps clinicians prioritize chest X-ray cases suspected of pneumothorax. It uses deep learning to analyze posteroanterior chest X-rays and provides case-level notifications in the existing PACS/workstation workflow, facilitating faster identification and assessment of patients who may have pneumothorax. It supports clinical decision-making by aiding in triage but is not intended for stand-alone diagnosis.

CogNet QmTRIAGE is an AI-powered software tool designed to analyze 2D digital mammograms to prioritize patients with suspicious breast findings. It flags exams suggestive of cancer to help mammography interpreting physicians prioritize their workflow, aiding early detection without replacing full diagnostic evaluation.

The EFAI ChestSuite XR Pleural Effusion Assessment System is an AI-powered software tool designed to assist radiologists by analyzing adult chest X-ray images (taken in the PA view) to identify features suggestive of pleural effusion. It provides notification through PACS/workstations to help prioritize and triage cases for review, improving workflow efficiency. The software does not highlight specific image areas but offers case-level alerts to support clinical assessment.

DrAid for Radiology v1 is an AI-based software tool that analyzes adult chest X-rays to identify features indicative of pneumothorax. It helps prioritize cases in the radiology workflow by notifying the system of potentially critical images, assisting clinicians in timely review without providing direct diagnoses or replacing clinical judgment.

BriefCase is a software device that uses artificial intelligence to analyze chest X-ray images for signs of pneumothorax. It notifies trained medical specialists of suspected positive cases via a desktop app to help prioritize patient care. The software works alongside standard clinical workflows without altering the original images or diagnostic process.

ClearRead Xray Pneumothorax is an AI-powered software tool designed to analyze adult chest X-rays and identify signs of pneumothorax larger than 5 mm. It functions as a triage system that notifies radiologists about suspected urgent cases, helping prioritize the review workflow but not replacing diagnostic interpretation.

Annalise Enterprise CXR Triage Pneumothorax is a software tool that uses artificial intelligence to analyze adult chest x-rays for signs of pneumothorax and tension pneumothorax. It assists trained clinicians by automatically prioritizing and triaging cases in their worklist, enabling faster attention to urgent findings. The device integrates with hospital imaging systems and helps optimize workflow without replacing clinical judgment.

HealthPPT is an AI-powered software tool that helps radiologists by automatically detecting signs of pneumoperitoneum in adult frontal chest X-rays. It prioritizes urgent cases by notifying the radiology workstation with a low-resolution preview image, enabling faster review of potentially critical findings. The device works alongside standard workflows without altering original images and does not itself diagnose the condition, but aids clinical assessment by highlighting suspicious cases for prompt review.

Lunit INSIGHT CXR Triage is an AI-based software tool designed to analyze adult chest X-ray images and identify potentially critical lung conditions such as pleural effusion and pneumothorax. It flags suspicious cases in the radiology workflow, enabling radiologists to prioritize urgent cases more efficiently without altering the standard reading queue. It operates as a supportive notification system and is not intended for standalone clinical decision making.